code: def set_seeds(seed):
      """
      Set Python, Numpy and Pytorch's random seeds in order to make
      the random number generation procedure deterministic and reproducible.
  
      Args:
          seed (int): The random number generation seed to use.
      """
      if seed is not None:
          random.seed(seed)
          np.random.seed(seed)
          torch.manual_seed(seed)
  
imports: import contextlib
  import numbers
  import os
  import random
  import warnings
  from typing import IO, Any, BinaryIO, Optional, Union
  import numpy
  import torch
  from torch.nn.utils.rnn import PackedSequence
  from torch.utils.data import Dataset
  from poutyne.warning_manager import warning_settings
label_desc: Use image node_id 9 for calling a global function with example usage: set_seeds(seed) without return types